interpreter

In CPython:

>>> from collections import deque
>>> class MyDeque(deque): pass
>>> MyDeque()
'MyDeque([])'

While in RustPython:

>>>>> from collections import deque
>>>>> class MyDeque(deque): pass
>>>>> MyDeque()
deque([])

This needs to be applied for set, frozenset and bytearray too.

Prior similar work: #3137

Very nit-picky, I just happened to have a binary called foo in my path, causing the tests to fail. It might be a good idea to randomize the name when checking for something not found or to use a more lengthy, unlikely-to-be-used name.

--- FAIL: TestRunnerRun (0.28s)
    --- FAIL: TestRunnerRun/#641 (0.01s)
        interp_test.go:2981: wrong output in "alias foo='bar baz'\ntype foo":
 

Current, if we try to run a more recent Java class in an old JVM, we get the following error message:

Error: LinkageError occurred while loading main class some.Class
	java.lang.UnsupportedClassVersionError: JVMCFRE003 bad major version; class=some/Class, offset=6

However, it is not so easily to detect that the class was compiled with a version above the supported by the JVM.Hotspot

I have an idea for a new feature for jQuery Terminal

It was used to update the version in package.json file but now it the Makefile update package.in when package.json changes and it recursive it keeps updating.

The package.in have {{VER}} that is updated with current version but to update the package.in the code use regex so it can just update the file iteself.

The file is modifi

Location of unimplemented feature:
https://github.com/boa-dev/boa/blob/master/boa/src/bytecompiler.rs#L369-L372

This would involve creating 2 new opcodes (Inc and Dec) here see https://searchfox.org/mozilla-central/source/js/src/vm/Opcodes.h#649-650 for reference.

Once added the VM would need to act on it. You can co

Scenario:
I have a project, with build tools of cmake, when I try to run it with cling. It prompts some headers are not included.

So I was wondering if there is a way to make use of the cmake script to load the build environment into cling and run directly?

Appreciate the great work!

1. The rf204_extrangefit.py should be translated also to C++
2. The rf204b_extendedLikelihood_rangedFit.C tutorial should also be translated to C++
3. The [rf204b_extendedLikelihood_rangedFit.C](https://root.cern.ch/doc/master/rf204b__extendedLikelihood_

Currently, our math module isn't completely filled with necessary math functions, where you can contribute us by adding more math functions. This issue has reference on how to add log function to the math module.

How to implement

PR #154 has example on how to add log10 to the math module, which you can use as a reference to add log (base 2) function.

Finally

And don't forget